RNA secondary structure prediction based on machine learning
KNetFold is a software for predicting the consensus RNA secondary structure for a given alignment of nucleotide sequences. You can read about the scientific background of this software in the help document or in our recent publication: Bindewald, E and Shapiro B.A (2006): RNA secondary structure prediction from sequence alignments using a network of k-nearest neighbor classifiers. RNA. 12(3): 342-352 (2006). This server was developed in the research group of Dr. Bruce A. Shapiro. This server is hosted by the Advanced Biomedical Computing Center (ABCC) of the National Cancer Institute (Frederick Campus).